Mayeesha Mahzabin
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
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Also affiliated: Bangladesh University of Professionals (2021–2022)
Research Areas
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Biography and Research Information
OverviewAI-generated summary
Mayeesha Mahzabin's research focuses on the application of machine learning and internet of things (IoT) technologies to address challenges in data security and water quality assessment. She investigates intrusion detection systems for database management, exploring machine learning techniques to identify and mitigate threats. Additionally, her work includes assessing water quality in smart city environments, leveraging IoT devices for data collection and analysis. Mahzabin has published on these topics, including work related to cloud-based infrastructure for post-quantum cryptography side-channel attack analysis. She collaborates with researchers at the University of Arkansas at Fayetteville, including David Andrews, Miaoqing Huang, Alexander Nelson, and Tristen Teague.
Metrics
- h-index: 2
- Publications: 4
- Citations: 6
Selected Publications
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Intrusion Detection in Database Management System Using Machine Learning (2025)
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Towards Cloud-based Infrastructure for Post-Quantum Cryptography Side-channel Attack Analysis (2023)
Collaboration Network
Top Collaborators
- Towards Cloud-based Infrastructure for Post-Quantum Cryptography Side-channel Attack Analysis
- Towards Cloud-based Infrastructure for Post-Quantum Cryptography Side-channel Attack Analysis
- Towards Cloud-based Infrastructure for Post-Quantum Cryptography Side-channel Attack Analysis
- Towards Cloud-based Infrastructure for Post-Quantum Cryptography Side-channel Attack Analysis
- Intrusion Detection in Database Management System Using Machine Learning
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